G. Mata

36 papers receiving 438 citations

Peers

G. Mata
Comparison fields: 5 of 78
  • Agronomy and Crop Science 130
  • Forestry 40
  • Animal Science and Zoology 82
  • Earth-Surface Processes 48
  • Ecology 173
Replace Darren K. James with:
Darren K. James United States
D. Barkai Israel
Luiz Gonsaga de Carvalho Brazil
Simon Woodward New Zealand
James P. S. Neel United States
Mark A. Lee United Kingdom
Romain Lardy France
Alessandra Gorlier Italy
Potira Meirelles Hermuche Brazil
MR Islam Bangladesh
G. Mata relative to Darren K. James United States Darren K. James's profile →
Citations per field
00.5×2.8×
Darren K. James · 1×
Citations per year

Countries citing papers authored by G. Mata

Since Specialization
Citations

This map shows the geographic impact of G. Mata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Mata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Mata more than expected).

Fields of papers citing papers by G. Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Mata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Mata. The network helps show where G. Mata may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Mata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Mata Line = papers co-authored together G. Mata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201860
3 202157
4 201930
5 199526
6 201025
7 199723
8 199823
9 199920
10 200619
11 199616
12 202211
13
Transsulfuration, protein synthesis rate and follicle mRNA in the skin of young Merino lambs in response to infusions of methionine and serine.
200010
14 199610
15 20238
16 20048
17 20078
18 19997
19 20207
20 20227

About G. Mata

G. Mata is a scholar working on Agronomy and Crop Science, Genetics, Ecology, Animal Science and Zoology and Forestry, having authored 40 papers that have together received 499 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (16 papers), Genetic and phenotypic traits in livestock (15 papers), Pasture and Agricultural Systems (8 papers), Remote Sensing in Agriculture (8 papers), Agriculture Sustainability and Environmental Impact (5 papers), Rabbits: Nutrition, Reproduction, Health (5 papers), Meat and Animal Product Quality (4 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Agronomy and Crop Science (130 citations), Forestry (40 citations), Animal Science and Zoology (82 citations), Earth-Surface Processes (48 citations) and Ecology (173 citations). G. Mata has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include DG Masters, Roger Lawes, Randall J. Donohue, A. C. Schlink, David Gobbett, Jackie Ouzman, D. Thomas, David G. Masters, François Waldner and Andrew Toovey. Their work appears in journals such as Animal Production Science, Animal Science, British Journal Of Nutrition, Crop and Pasture Science and Agronomy for Sustainable Development.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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